{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T17:10:02Z","timestamp":1776186602239,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T00:00:00Z","timestamp":1533081600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/tip.2018.2831899","type":"journal-article","created":{"date-parts":[[2018,4,30]],"date-time":"2018-04-30T18:39:36Z","timestamp":1525113576000},"page":"3998-4011","source":"Crossref","is-referenced-by-count":916,"title":["NIMA: Neural Image Assessment"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5962-2563","authenticated-orcid":false,"given":"Hossein","family":"Talebi","sequence":"first","affiliation":[]},{"given":"Peyman","family":"Milanfar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2147325"},{"key":"ref38","author":"wang","year":"2016","journal-title":"Brain-inspired deep networks for image aesthetics assessment"},{"key":"ref33","author":"abadi","year":"2016","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref32","first-page":"251","article-title":"The earth mover’s distance is the mallows distance: Some insights from statistics","volume":"2","author":"levina","year":"2001","journal-title":"Proc 8th IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1756","DOI":"10.21437\/Interspeech.2013-436","article-title":"Cross-entropy vs. squared error training: A theoretical and experimental comparison","author":"golik","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref30","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref37","author":"kao","year":"2016","journal-title":"Visual aesthetic quality assessment with multi-task deep learning"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654927"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2585880"},{"key":"ref34","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"Proc of USENIX Symp on Operating Systems Design and Implementation (OSDI)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.60"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532767"},{"key":"ref12","author":"sheikh","year":"2005","journal-title":"LIVE Image Quality Assessment Database Release 2"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"11006","DOI":"10.1117\/1.3267105","article-title":"Most apparent distortion: Full-reference image quality assessment and the role of strategy","volume":"19","author":"larson","year":"2010","journal-title":"J Electron Imag"},{"key":"ref14","first-page":"662","article-title":"Photo aesthetics ranking network with attributes and content adaptation","author":"kong","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref15","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2736018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477040"},{"key":"ref18","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref19","author":"zeng","year":"2017","journal-title":"A probabilistic quality representation approach to deep blind image quality prediction"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.133"},{"key":"ref27","author":"cover","year":"2012","journal-title":"Elements of Information Theory"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533065"},{"key":"ref29","author":"howard","year":"2017","journal-title":"Mobilenets Efficient convolutional neural networks for mobile vision applications"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.224"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.119"},{"key":"ref7","author":"bianco","year":"2016","journal-title":"On the Use of Deep Learning for Blind Image Quality Assessment"},{"key":"ref2","first-page":"106","article-title":"Color image database TID2013: Peculiarities and preliminary results","author":"ponomarenko","year":"2013","journal-title":"Proc 4th Eur Workshop Vis Inf Process (EUVIP)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351067"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247954"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/QOMEX.2009.5246976"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.84"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1145\/2010324.1964964","article-title":"Domain transform for edge-aware image and video processing","volume":"30","author":"gastal","year":"2011","journal-title":"ACM Trans Graph"},{"key":"ref22","article-title":"The unreasonable effectiveness of deep features as a perceptual metric","author":"zhang","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"3116","DOI":"10.1109\/TIP.2010.2052820","article-title":"Automatic parameter selection for denoising algorithms using a no-reference measure of image content","volume":"19","author":"zhu","year":"2010","journal-title":"IEEE Trans Image Process"},{"key":"ref21","author":"hou","year":"2016","journal-title":"Squared Earth Mover’s Distance-based Loss for training deep neural networks"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-016-0873-x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2401732"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2191563"},{"key":"ref23","article-title":"Learned perceptual image enhancement","author":"talebi","year":"2018","journal-title":"Proc IEEE Int Conf Comput Photograph (ICCP)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532505"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2500021"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2607142"},{"key":"ref25","year":"2017","journal-title":"Kodak Lossless True Color Image Suite"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8347140\/08352823.pdf?arnumber=8352823","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T11:43:23Z","timestamp":1720266203000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8352823\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":47,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tip.2018.2831899","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8]]}}}